Ultrasonic exposure parameters screening in permeability of mycobacterium smegmatis cytoderm induced by cavitation based on artificial neural network identification
Ultrasonic exposure parameters screening in permeability of mycobacterium smegmatis cytoderm induced by cavitation based on artificial neural network identification
复制标题
基于人工神经网络识别空化诱导耻垢分枝杆菌细胞壁通透性的超声暴露参数筛选
DOI：
10.1016/j.ultsonch.2019.104624
复制
发表时间：
2019
影响因子：
8.4
通讯作者：
Du Yonghong
中科院分区：
文献类型：
--
作者：
Cao Hua;Li Yanhao;Yang Zengtao;Wang Zhenyu;Mao Xiang;Li Fahui;Du Yonghong
研究人员已采用低强度超声来增强体外和体内对细菌的杀菌作用。虽然其机理还不完全清楚，但一种主流观点认为，渗透率的增加是由于声空化。然而，超声暴露参数和空化效应之间的关系并没有明确解决。本文通过建立超声参数与空化效应之间的改进人工神经网络模型，可以预测不同超声系统的空化效应，并为超声参数的选择提供指导。与通用模型相比，修正模型的计算结果更接近实验结果，且计算成本低。这表明，作为一种有效的解决方案，新模型的有效性得到了证明。虽然该方法的研究还处于初步阶段，但由于可以降低实验费用，因此具有很大的应用价值和意义。本研究的下一个步骤是探索一种优化方法，以获得最合适的参数基于此识别模型。希望能为超声治疗的进一步应用提供指导。
The low intensity ultrasound has been adopted by researchers to enhance the bactericidal effect against bacteria in vitro and in vivo. Although the mechanism is not completely understood, one dominant opinion is that the permeability increases because of acoustic cavitation. However, the relationship between ultrasonic exposure parameters and cavitation effects is not definitely addressed. In this paper, by establishing a modified artificial neural network (ANN) model between ultrasonic parameters and cavitation effects, the cavitation effects can be predicted and inversely the direction for choosing parameters can be given despite of different ultrasonic systems. Compared with the generic model, the computational results obtained by modified model are more close to experimental results with low calculation cost. It means that as an efficient solution, the validity of the new model has been proved. Although the research is of preliminary stage, the new method may have great value and significance because of reducing the experimental expense. The next step of this research is to explore an optimization method to obtain the most suitable parameters based on this identification model. We hope it can give a guideline for future applications in ultrasonic therapy.